2022 Conference

Drill Down Summary Tables in Shiny with Tplyr

Mike Stackhouse, Atorus

Creating Submission-Quality Clinical Trial Reporting Tables in R With rtables

Adrian Waddell and Gabe Becker, Roche / Genentech

How to build Shiny testing architecture

Marcin Dubel, Appsilon

How to use pointblank to understand, validate, and document your data

Rich Iannone, RStudio

Using R to derive robust insights from real-world health care data

Nathaniel Phillips, Plinth

Coding Typical Clinical Processes Using R for the Entry Level Programmer

Brian Varney, Experis

Introduction to Observable - Companion Visualization Tool for Your Analysis

Michael Freeman and Allison Horst, Observable

Building a Data Science Community at Your Pharma

Rachael Dempsey, RStudio

Clinical Reporting in R (2 day workshop - Oct 31, Nov 1)

Christina Fillmore, Ellis Hughes and Thomas Neitmann, GSK | GSK | Roche

Admin - Clinical Environment Management

Satish Murthy and Devin Pastoor, J&J | RStudio

Advanced Stan Workshop

Daniel Lee, Syclik

Introducing {gtreg}: an R package to produce regulatory tables for clinical research

Shannon Pileggi and Daniel Sjoberg, Memorial Sloan Kettering Cancer Center

Introduction to {shinyValidator}

David Granjon, Novartis

A hands on introduction to Quarto

Julia Mueller, University of Freiburg

Building Production-Quality Shiny Applications

Eric Nantz, Eli Lilly

How to use a complete JavaScript toolchain in your Shiny development

David Hall, Novartis

An intro to CI/CD for R packages

Dinakar Kulkarni and Ben Straub, Roche | GSK

Graph Neural Networks in Drug Discovery: Opportunities and Solutions

Zichen Wang and Vassilis N. Ioannidis, Amazon

Opening Remarks - Harvey Lieberman (R/Pharma, Novartis)

Disrupting drug development with data-driven approaches: insights for fast expanding data teams

Alice Walsh and Katie Igartua, Pathos | Tempus

Break

CDISC Initiatives and Collaborations

Sam Hume, CDISC

PatientLevelPrediction: An end to end toolkit for developing diagnostic/prognostic models using big observational healthcare data

Jenna Reps, Johnson & Johnson

ANTICS, an interactive game for exploring Adaptive Trial Design

Daniel Woodie, Berry Consultants

Why do I spend all my life formatting tables?!

Christina Fillmore, GSK

Break

Enterprise-level Transition from SAS to Open-Source Programming for the whole department

Kevin Lee, Genpact

Successfully building a vibrant community of R users at AstraZeneca: Lessons Learned!

Guillaume Desachy, AstraZeneca

Advanced Visual Analytics for Drug Safety Review

Neetu Sangari and Melvin Munsaka, Pfizer | Abbvie

Break

MeRGE: An ecosystem of open-source R packages for Pharmacometrics from MetrumRG

Seth Green, Metrum Research Group

Panel Discussion - Building an Open Source Community

Opening Remarks - Tom Mock (Posit)

Pharmaverse: Breaking boundaries through open source collaboration!

Ross Farrugia, Roche / Genentech

Break

R pilot submissions to FDA

Ning Leng and Hye Soo Cho, Roche | FDA

Bundling JS for Your Shiny App

Maya Gans, Atorus Research

Building Shiny Frameworks: Some Lessons

Harvey Lieberman, Novartis

Working at the intersection of Biostatistics and Software Engineering in a Pharma company

Daniel Sabanes Bove, Roche / Genentech

Break

R, Python, and Shiny in harmony: an Out-of-Box secure data backend for RStudio Connect & Workbench

Xiao Ni and Mike Stackhouse, Sarepta | Atorus Research

Drill Down Summary Tables in Shiny with Tplyr

Mike Stackhouse, Atorus Research

Roches approach to software validation: an automated pipeline from validation to publication

Coline Zeballos and Doug Kelkhoff, Roche / Genentech

Break

R in the Cloud: A Holistic Approach towards GxP Compliance

Megan Chiang, ProCogia

Assuring SDTM data quality with the sdtmchecks package

Will Harris, Roche / Genentech

Analysis and visualization of large-scale drug combination experiments with Shiny

Charlie Wright, St. Jude Children Research Hospital

Panel Discussion - Governing business critical pan-company collaborative R packages

Opening Remarks - Dustin Tingley (Harvard)

BioTech Challenges

Robert Gentleman, Harvard Medical School

Break

Three new things in tidymodels

Max Kuhn, Hannah Frick, Emil Hvitfeldt, Qiushi Yan, RStudio

Co-existence of R and SAS for multiple imputation in Novo Nordisk

Claus Dethlefsen, Novo Nordisk

10 Practical Considerations for moving to R

Rose Grandy, Abbott

RStudio on Amazon SageMaker: Streamlining the Healthcare and Life Sciences Machine Learning process

Eric Peña, Angela Samples, Farooq Sabir, Zheng Yang, AWS

Break

The Bioconductor Community

Maria Doyle, bioconductor

Meet a 100% R-based CRO - the summary of a 5-year journey

Adrian Olszewski, 2KMM

Asynchronous Processing of Long-Running Tasks in Shiny

Nicole Jones, Merck

How CI/CD Enhances the Development of R packages in the Pharmaverse

Dinakar Kulkarni, Ben Straub, Craig-Gower-Page, Genentech | GSK | Roche

Break

Introducing gtreg: an R package to produce regulatory tables for clinical research

Shannon Pileggi and Daniel Sjoberg, Memorial Sloan Kettering Cancer Center

RMarkdown for enhanced Quality Control & Documentation

Patrick Hilden, Johnson & Johnson

Data Science in the Pharmaceutical Industry: A Coursera Specialisation

Kieran Martin, Roche / Genentech

Panel Discussion - Finding A Way: Career stories from 4 senior level women in data science

Closing Comments - Eric Nantz (R/Pharma / Eli Lilly)